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International Journal of Artificial Intelligence Research
Published by STMIK Dharma Wacana
ISSN : -     EISSN : 25797298     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) majors areas of research that includes 1) Machine Learning and Soft Computing, 2) Data Mining & Big Data Analytics, 3) Computer Vision and Pattern Recognition, and 4) Automated reasoning. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : -
Articles 621 Documents
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Can Internal, Cultural and Personal Factors Create A Culture of Innovation in SME in The Province of North Sulawesi? (Learning From COVID-19) Roring, Ferdy; Maramis, Joubert B.; Sumual, Jacline Indirany; Kindangen, Wulan Deisy; Rompas, Wensy Frangky Israel
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1124

Abstract

Many researches prove that SMEs (Small Medium Enterprises or SMEs) are thepillars of an economy. SMEs absorb a lot of labor and have a significant contributionto the economic growth of a country and region. SMEs also have a very large numberand are spread in every existing business sector, so SMEs receive serious attentionfrom both academics, researchers and the government. This study has a specificpurpose, namely to analyze and test the influence of perceived difficulties, responsesto difficuties, open-mindedness culture, creativity as well as adaptive ability),Individualism, power distance, uncertainty avoidance and masculinity / femininity),learning Capability (LC), Intellectual capital, Knowledge management, socialnetwork) on innovation culture, which is an aspect of originality or novelty in thisstudy. This study used a sample of SMEs in North Sulawesi Province and usedmultiple regression analysis techniques. The results of the analysis show thatperceived difficulties (X1), responses to difficulties (X2), open-mindedness culture(X3), creativity (X4) and adaptive ability (X5) have a significant effect (below 5%)on Innovation culture. The results of the analysis show that Learning Capability(LC) (X6), Intellectual capital (X7), Knowledge management (X8), social network(X9) have a significant effect (below 5%) on Innovation culture. The analysis resultsshow that Individualism (X10), uncertainty avoidance (X12) and masculinity /femininity (X13) have a significant effect (below 5%) on the culture of innovation.However, the power distance variable (X11) does not significantly affect the cultureof innovation. The results of the analysis show that the influence of perceiveddifficulties (X1), responses to difficulties (X2), open-mindedness culture (X3),creativity (X4) and adaptive ability (X5) has a significant effect (below 5%) oninnovation culture, remains significant even though it has been controlled for aspectsof the owner's age, ethnicity and business age. The results of testing the effect ofinternal factors (Learning Capability (LC) (X6), Intellectual capital (X7),Knowledge management (X8), social network (X9) on innovation culture (Y), showdifferent results specifically on the Learning Capability (LC) variable (X6), wherewhen controlled for aspects of ethnicity and business age, this variable becomesinsignificant on innovation culture. For the results of testing the effect of culturalcultural factors (Individualism (X10), power distance (X11), uncertainty avoidance(X12) and masculinity / femininity (X13) on innovation culture (Y), with variablecontrol of owner age, ethnicity and business age, no impact on innovation culture.
Gender Inequality and Economic Growth in South Kalimantan Sopiana, Yunita; Khairina, Melisa; Maulina, Dessy
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1211

Abstract

The purpose of this study is to investigate the relationship between gender inequality and GDP development in several fields, such as health, education, economics, and employment. A panel random effect regression model is used to analyze the data in order to achieve this.This study found that economic growth in South Kalimantan is negatively and significantly affected by gender inequality in education, as indicated by the average ratio of school time. According to the life expectancy ratio, the gender disparity in health has a small but favorable impact on economic growth in South Kalimantan. When the per capita expenditure ratio is used to examine economic disparities in South Kalimantan, a negative and significant effect becomes apparent. Gender imbalance in the workplace considerably retards South Kalimantan's economic growth, as seen by the ratio of women to males in the working force.
Implementation Fuzzy Mamdani Algorithm To Predict Web Based Inventory Bambang Adiwinoto; Dian Novianto
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.909

Abstract

Mamdani's fuzzy algorithm enables the use of fuzzy logic to overcome the uncertainties and ambiguities associated with inventory predictions. This study describes implementing the Mamdani fuzzy algorithm to predict web-based inventory. Fuzzy algorithms allow specific reasons to deal with the uncertainties and ambiguities associated with inventory predictions. We collect relevant inventory data, including input variables such as the number of items sold, customer demand, and other factors that affect inventory. We also use historical inventory data to create the Mamdani fuzzy model. We implement fuzzification by specifying a linguistic variable for each input variable and converting the numeric to a linguistic value using a predefined membership function, then build a  rule-based fuzzy Mamdani which includes a set of rules that relate language values as input variables with linguistic values of output variables., i.e., inventory prediction. After the inference process, we apply defuzzification using the Mamdani method to convert the linguistic values of the output variables into numeric values that can be used in practice. Through this implementation, we managed to integrate the power of Mamdani's fuzzy algorithm with web technology so that users can access the inventory prediction system online. This system can assist inventory managers in making better decisions in production planning, stock procurement, and delivery schedule. This system is expected to increase efficiency and optimize inventory availability in a rapidly changing business environment.
Turnover Intention: Career Development and Compensation Approach, and Job Satisfaction as an Intervening Variable Harini, Sri; Narimawati, Umi; Hadi, Silviana Marwa; Yuningsih, Erni
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1064

Abstract

This study aims to determine the effect of career development and compensation variables on turnover intention with job satisfaction as an intervening variable for employees of Hotel Leuweung Geledegan Ecolodge Bogor. This sampling uses a saturated sample technique or non-probability sampling, with a total of 50 permanent employees except the General Manager. Measurement in the questionnaire using a 5-item Likert scale. The data analysis technique in this study used the IBM SPSS v25 software application with the path analysis method. The analysis used in this study includes a validity test, reliability test, normality test, coefficient of determination test, F test, t-test, and Sobel test to determine the mediating effect. The results in this study indicate that 1) Career development and compensation simultaneously have effect and significant on job satisfaction, 2) Career development has a positive and significant effect on job satisfaction, 3) Compensation has a positive and significant effect on job satisfaction, 4) Career development, compensation and job satisfaction simultaneously and significantly on turnover intention, 5) career development has a negative and significant effect on turnover intention, 6) compensation has a negative and significant effect on turnover intention, 7) job satisfaction has a negative and significant effect on turnover intention, 8) career development has no indirect effect on turnover intention through job satisfaction, 9) compensation does not have an indirect effect on turnover intention through job satisfaction.
Integrating Sentiment Analysis and Quality Function Deployment for Product Development 'Azzam, Abdullah; Mahardiningtyas, Syafira; Qurtubi, Qurtubi
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1100

Abstract

The development of technology and media has made online data reviews a promising data source. Through machine learning utilizing text processing, data analysis of Ventela Public Low product reviews can be carried out—sentiment analysis is used to find class groups from each data. The classification algorithm is Naïve Bayes and Support Vector Machine (SVM). A classification model with the best performance and accuracy values will be selected. Word association is then applied to obtain information from the required class. Quality Function Deployment (QFD) is a tool used to assist designers in developing products. The results of the integration of sentiment analysis into QFD show that sentiment analysis produces information by the provisions of the QFD method and can support the product development process in terms of the amount of data various data topics and reduces the subjectivity of designers at the stage of determining Voice of Customer (VOC) and performance values of products and competitors
Information on Online Promotion Strategies Based on Go-Food Applications in Creating Marketing Effectiveness Hermiyetti, Hermiyetti; Dewi, Luh Komang Candra; Dharmawan, Donny; Junaedi, I Wayan Junaedi; Utami, Eva Yuniarti
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1091

Abstract

The research aims to explore the effectiveness of online promotion strategies through the Go-Food application for culinary MSMEs in Jakarta. This research explores the benefits and disadvantages of using online promotional strategies through the Go-Food application. Effectiveness is measured by the number of advantages obtained compared to the losses experienced. The research method is a case study with a qualitative approach. Data collection techniques were carried out using interviews, observation, documentation and literature study. The number of informants studied was 5 informants. The research results show that the online promotion strategy through the Go-Food application has benefits: increasing the number of consumers, expanding the market, increasing income, as a promotional medium, time efficiency and increasing credibility, while the disadvantages can be overcome by technological development carried out in the Go-Food application. Thus, the advantages of using an online promotion strategy through the Go-Food application outweigh the disadvantages, so it can be concluded that the online promotion strategy through the Go-Food application is effective for culinary MSMEs.
Influence of Audit Technology Implementation on Efficiency and Accuracy of Audits in Public Companies: A Case Study of Manufacturing Companies in Indonesia Nasution, Raden; Dailibas, Dailibas; Chaerudin, Chaerudin; Harahap, Muhammad Nasim; Mutaufiq, Ali; Kumala, Destiana
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1196

Abstract

This research discusses the influence of the application of audit technology on audit efficiency and accuracy in manufacturing companies in Indonesia. This research uses a type of quantitative research with a survey approach with the method used is saturated sampling/census, with a sample of 26 manufacturing companies in Indonesia. This research data analysis technique uses PLS software version 3.0 (Partial Least Square). The results of the research showed that the application of audit technology had a positive and significant effect on efficiency with a statistical t value of 31.066 > 2.055 and a P-value of 0.000, this means that techniques for implementing audit technology such as audit information systems , big data analytics. , and AI (artificial intelligence) technology can significantly improve the efficiency of the audit process. This technology allows auditors to conduct deeper analysis of transaction data and complex patterns, identifying anomalies or potential risks more quickly and precisely. The application of audit technology has a positive and significant effect on audit accuracy with a statistical t value of 76.415 > 2.055 and a P-value of 0.000, this means that accurately, audit technology can also minimize human error in the audit process, because it can carry out automatic testing and broader analysis of available data. This increases the accuracy of the financial reports produced, which is one of the main objectives of the audit process in supporting transparency and public trust in public companies.
Analysis of Information Technology Service Management for Radio Frequency Spectrum Licensing Services at Balmon Palembang Using ITIL V3 Andryani, Ade; Herdiansyah, Muhammad Izman; Negara, Edi Surya; Sutabri, Tata
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1132

Abstract

This research discusses the importance of timely, accurate, and relevant information technology services to support organizational activities, particularly in the context of radio frequency spectrum licensing services. The lack of government oversight of IT services often leads to complaints, necessitating evaluation using the ITIL framework. The study seeks to examine how ITIL V3 processes are applied within radio frequency spectrum licensing services at Balmon Palembang through a qualitative descriptive method. Findings suggest that the services have implemented ITIL V3 processes with a maturity level at level 3 Defined.
Performance Comparison of Support Vector Machine Algorithm and Logistic Regression Algorithm Hanny Hikmayanti; Anis Fitri Nurmasruriyah; Ahmad Fauzi; Nunung Nurjanah; Arphilia Nur Rani
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1114

Abstract

According to the World Health Organization (WHO), there are around 7 million breast cancer patients each year, with about 5 million of them dying. Based on Globocan 2018 data, the death rate from breast cancer averages 17 per 100,000 people with incidents of 2.1 per 100,000 people attacking women in Indonesia. Hence breast cancer causes spread genetic mutations in the DNA of breast epithelial cells that radiate to the ducts. The purpose of this study was to classify the type of cancer (benign or malignant) that was suffered. The difference between previous research and this research is in the algorithm testing method chosen. In this study the algorithm used is SVM and Logistic Regression by applying the SMOTE technique. The K-fold cross validation method is used in testing this research. The accuracy results obtained are 1.0, precision 1.0 and recall 1.0.While the highest evaluation results for the model without SMOTE were Accuracy 0.97, precision 1.0 and recall 0.90 with the LR method. So based on the results of the comparison, it shows that the evaluation of models using SMOTE tends to be higher than models without SMOTE
Effective Learning Model in Fostering Converts in Padang City: Analysis of Studies and Recommendations in the Artificial Intelligence Era Japeri, Japeri; Perisya, Fauziyyahh; Yunus, Muhammad; Mengki, Jias
International Journal of Artificial Intelligence Research Vol 8, No 1.1 (2024)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1.1254

Abstract

In the era of Artificial Intelligence, this study seeks to analyze and recommend an effective learning model for fostering converts in Padang City. Using a qualitative literature review method, the research examines various learning models relevant to the socio-cultural context of the Minangkabau community. The findings highlight the need for a holistic and multidimensional approach in supporting the learning process of converts. Models such as andragogy, constructivism, cooperative learning, contextual learning, problem-based learning, experiential learning, and transformative learning have been identified as particularly effective. In addition to the selection of learning models, key factors that determine success include the quality of educators, the relevance of learning materials, and the presence of a supportive learning environment. The integration of Minangkabau local wisdom is also deemed essential in helping converts comprehend Islamic teachings in a culturally sensitive manner. Furthermore, the research emphasizes the importance of psychosocial support, including emotional and social assistance, throughout the development process. Given these findings, the study proposes the development of a comprehensive, phased curriculum, the provision of intensive training for converts, the creation of contextual learning materials, the incorporation of advanced AI technologies in the learning process, the formation of support networks, and the establishment of cross-sector collaborations to enhance the learning experience.

Page 42 of 63 | Total Record : 621

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